Use Cases

Challenge: A mid-size recruiting SaaS needed to help its candidates apply to 10× more relevant roles without increasing the time candidates spent on applications. Portal fatigue was causing 34% of candidates to drop off within their first two weeks on the platform.

Solution: We would deploy AiGiri Scout via white-label API, integrated directly into the platform's existing candidate portal. Scout would automate job discovery, resume tailoring, and multi-portal submission without requiring candidates to leave the host platform.

Outcome: We project candidates would apply to an average of 47 roles per week (up from 4), with a 31% increase in interview conversion rates. Platform churn in the first 30 days is expected to drop significantly as candidates see faster results.

Challenge: A multi-site manufacturing company relied on manually compiled weekly reports, requiring 12 hours of analyst time and creating 3-day data lags. Leadership was making decisions on data that was already obsolete, and supply-chain anomalies were routinely caught days after they began compounding.

Solution: AiGiri Insight would be connected to their ERP, IoT sensor feeds, and logistics platform. Automated dashboards and daily AI-written summaries would replace the manual reporting process entirely. Custom anomaly detection would be tuned to flag deviations in production yield, inventory levels, and supplier lead times.

Outcome: Report preparation time is projected to drop from 12 hours per week to near zero. Leadership would be positioned to identify supply-chain anomalies within hours instead of days, preventing significant compounding losses. The operations team would reclaim substantial analyst time per week for higher-value analysis.

Challenge: Compliance and operations teams at a 200-person fintech were spending 30% of their working hours searching internal policy documents, Confluence pages, and email archives to answer routine regulatory questions. New hire ramp time averaged 11 weeks, and senior compliance officers were repeatedly pulled away from high-value work to answer questions that were already documented.

Solution: AiGiri Copilot would be deployed as a Teams-embedded assistant, indexing over 4,000 internal documents with role-based access controls, a full interaction audit trail, and source citations on every answer.

Outcome: Knowledge retrieval time is expected to fall by 78%. The compliance team would be positioned to handle 40% more queries with the same headcount. New hire ramp time is projected to drop from 11 weeks to 6. Full audit logs would satisfy requirements in internal and external audit reviews.

Challenge: A 12-clinic healthcare network processed patient intake forms, insurance verification, and pre-appointment questionnaires manually. Each clinic required 2 dedicated staff members for intake, and new patient onboarding averaged 45 minutes — creating waiting-room backlogs and contributing to a 19% no-show rate as patients grew frustrated before they'd even been seen.

Solution: AiGiri would build a custom intake automation agent trained on the network's intake protocols, insurance verification workflows, and clinical questionnaire logic. The agent would handle document collection, insurance pre-verification, and appointment preparation autonomously, with staff reviewing exceptions rather than processing every case.

Outcome: Average intake time is projected to drop from 45 minutes to under 10 minutes. Staff previously dedicated to intake processing would be redeployed to patient care roles. The no-show rate is expected to fall significantly within 90 days of deployment through personalised reminder workflows.

Challenge: A 60-attorney firm had junior associates spending 60% of their billable hours on initial contract review — identifying standard clauses, flagging non-standard terms, and summarising risk areas before partner review. Partners wanted to redirect associate time to higher-value drafting and client work, but couldn't without accelerating the review step.

Solution: AiGiri would build a contract review agent trained on the firm's precedent library, standard clause playbooks, and risk classification framework. The agent would automatically classify clause types, flag deviations from standard positions, score overall contract risk, and generate a structured review memo ready for partner sign-off.

Outcome: Initial contract review time is projected to drop by 70%. Associates would handle significantly more contracts per week. The firm would be positioned to reduce outside counsel spend by bringing contract work in-house that has previously been offloaded due to capacity constraints.